Triple
T12269604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CAN-SPAM Act |
E292436
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | anti-spam law |
C31191
|
CONCEPT FINISHED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: anti-spam law Context triple: [CAN-SPAM Act, instanceOf, anti-spam law]
-
A.
anti-spam service
An anti-spam service is a system that automatically detects, filters, and blocks unwanted or malicious messages to protect users and maintain clean communication channels.
-
B.
anti-fraud provision
An anti-fraud provision is a contractual or statutory clause designed to prevent, detect, and remedy deceptive or dishonest conduct in transactions or financial activities.
-
C.
anti-communist law
Anti-communist law is a legal framework designed to restrict, criminalize, or otherwise suppress communist ideology, organizations, and activities within a given jurisdiction.
-
D.
anti-drug legislation
Anti-drug legislation comprises laws and regulations designed to control, restrict, or prohibit the production, distribution, possession, and use of certain drugs, often with the goals of protecting public health, reducing crime, and regulating pharmaceutical and recreational substances.
-
E.
anti-trafficking legislation
Anti-trafficking legislation comprises laws and regulations designed to prevent and punish human trafficking, protect and support victims, and promote cooperation among institutions and jurisdictions to combat trafficking effectively.
- F. None of above. chosen
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
Created at: April 8, 2026, 9:52 p.m.